PhD Position in Big Data: Join a transformative research project at LUMC, where you will leverage big data and causal inference methods to enhance patient care for cardiovascular-kidney-metabolic (CKM) diseases. Collaborate with an international team and gain expertise in cutting-edge analytics while making a significant impact on healthcare.
PhD Position in Causal Inference and Big Data
Designation
PhD Candidate
Research Area
Causal Inference and Big Data Analytics
Location
Leiden University Medical Center (LUMC), Netherlands
Eligibility/Qualification
- Master’s degree in Data Science, (Bio)Statistics, Epidemiology, Computer Science, or a related field
- Proficiency in programming (preferably in R or Python)
- Strong interest in causal inference, machine learning, and big data analytics
- Ability to work collaboratively within an interdisciplinary team
Job Description
As a PhD candidate, your responsibilities will include:
- Developing and applying advanced causal inference methods such as target trial emulation and causal machine learning
- Analyzing large-scale healthcare datasets from over 20 million patients in the Netherlands and Sweden
- Collaborating with clinicians to translate insights into clinical improvements
- Presenting research findings at international conferences and publishing in high-impact journals
- Engaging with leading institutions like Karolinska Institute, UCSF, and Harvard, with opportunities for international research immersion
How to Apply
Interested candidates should submit their CV and a motivation letter through the application portal.
Last Date to Apply
Open now
Seize this unique opportunity to advance your career while contributing to innovative healthcare solutions.
